Paper
28 September 2016 Adapting Eclat algorithm to parallel environments with Charm++ library
Marek Puścian, Waldemar Grabski
Author Affiliations +
Proceedings Volume 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016; 100315A (2016) https://doi.org/10.1117/12.2249403
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 2016, Wilga, Poland
Abstract
In this paper we describe Eclat algorithm that is adapted to deal with growing data repositories. The presented solution utilizes Master-Slave scheme to distribute data mining tasks among available computation nodes. Several improvements have been proposed and successfully implemented using Charm++ library. This paper introduces optimization techniques to reduce communication cost and synchronization overhead. It also discusses results of the performance of parallel Eclat algorithm against different databases and compares it with parallel Apriori algorithm. The proposed approach has been illustrated with many experiments and measurements performed using multiprocessor and multithreaded computer platform.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marek Puścian and Waldemar Grabski "Adapting Eclat algorithm to parallel environments with Charm++ library", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100315A (28 September 2016); https://doi.org/10.1117/12.2249403
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KEYWORDS
Mining

Databases

Algorithm development

Data mining

Optimization (mathematics)

Switching

Biological research

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